Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

Path Planning of Robotic Fish Based on Fuzzy Control

Authors
Li Xin, Deng Yansong
Corresponding Author
Li Xin
Available Online June 2015.
DOI
10.2991/kam-15.2015.43How to use a DOI?
Keywords
fuzzy control; robotic fish; path planning; URWPGSim2D.
Abstract

Due to the complexity and the uncertainty of water environment, the majority of communal gorithms of local path planning are almost approximate and bring some noise interference, so it is difficult to control accurately. Referring to the idea of fuzzy control to solve problems of the robotic fish collide, the thesis makes use of the robustness of fuzzy control and the timing adjustment of deflection angle of the robotic fish with the biology combination of perception and action, and reaches the target point effectively. The algorithm possesses a better avoidance capability in multi obstacle and complex cases. Further more, it is simple and easy to carry out.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-87-5
ISSN
1951-6851
DOI
10.2991/kam-15.2015.43How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Xin
AU  - Deng Yansong
PY  - 2015/06
DA  - 2015/06
TI  - Path Planning of Robotic Fish Based on Fuzzy Control
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 155
EP  - 158
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.43
DO  - 10.2991/kam-15.2015.43
ID  - Xin2015/06
ER  -